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Amazon Machine Learning Jobs in Dallas, TX (NOW HIRING)

... insights. (5) Machine Learning and generative AI concepts and application strategies. (6) ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... SecOps, Amazon Web Services (AWS), or Microsoft Azure * 1+ years of experience with security ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... SecOps, Amazon Web Services (AWS), or Microsoft Azure * 1+ years of experience with security ...

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Showing results 21-40

Amazon Machine Learning information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do amazon machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for amazon machine learning in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are popular job titles related to Amazon Machine Learning jobs in Dallas, TX? For Amazon Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Amazon Machine Learning jobs in Dallas, TX look for? The top searched job categories for Amazon Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Amazon Machine Learning jobs? Cities near Dallas, TX with the most Amazon Machine Learning job openings:
Infographic showing various Amazon Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

Senior Sales Specialist, Analytics, Enterprise Accounts, AGS Enterprise Specialist Sales

Amazon

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

- Reports to Enterprise Specialist Sales Leader
- Full time in US offices - Dallas, Miami, Phoenix, Chicago, NY
- Starting ASAP
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on "art of the possible" success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon Open Search Service, a managed search and analytics engine. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case.
The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions.
Key job responsibilities
Key job responsibilities
• Drive revenue and market share in a defined territory.
• Meet or exceed annual revenue targets.
• Develop and execute against a comprehensive account/territory plan.
• Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.
• Create & articulate compelling value propositions around AWS analytics services.
• Accelerate customer adoption of Amazon analytics services.
• Maintain a robust sales pipeline leveraging sales force automation tools and best practices
• Work with partners to extend reach & drive adoption.
• Develop long-term strategic relationships with key accounts.
• Ensure customer satisfaction.
• Expect moderate travel.
A day in the life
A day in the life
You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1".
BASIC QUALIFICATIONS
- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- 5+ years of business development, partner development, sales or alliances management experience
PREFERRED QUALIFICATIONS
- 5+ years of building profitable partner ecosystems experience
- Experience developing detailed go to market plans
- Experience in any Bigdata architecture, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, AZ, TEMPE - 142,800.00 - 193,200.00 USD annually
USA, FL, Miami - 142,800.00 - 193,200.00 USD annually
USA, GA, Atlanta - 142,800.00 - 193,200.00 USD annually
USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually
USA, NY, New York - 157,100.00 - 212,600.00 USD annually
USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US